Data-driven digital platforms for transforming the automotive industry

It's almost a cliché that the automotive industry is undergoing transformation. Perhaps not since the Model T revolutionized the industry have so many changes occurred in such a short time. Driving this evolution is the unstoppable momentum of a digital transformation driven by Connected, Automated, Shared and Electrified (CASE), which is upending established norms and reimagining the industry from within. Linear, product-centric business models built on structured data are being replaced by collaborative, data-driven business ecosystems that incorporate a broad set of stakeholders and traditional and non-traditional data types. The new frontier of value creation is a differentiated, highly curated and personalized customer experience.

Two key initiatives in this transformation are smart manufacturing/industry 4.0 and the emphasis on greater collaboration between stakeholders. The ability to break down organizational data silos and mine this rich, diverse data stream for next-generation insights to support effective decision-making and innovation at scale is critical to this transformation. Data analytics, artificial intelligence (AI), and machine learning (ML) are key technologies that provide the tools to achieve these goals.